The table below provides summary statistics and salary benchmarking for jobs advertised in Bristol requiring Node.js skills. It covers permanent job vacancies from the 6 months leading up to 18 October 2025, with comparisons to the same periods in the previous two years.
Node.js falls under the Software Libraries and Frameworks category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring technical specification, industry standards, software libraries and framework skills in Bristol.
Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills
162
378
471
As % of all permanent jobs advertised in Bristol
13.97%
17.75%
28.53%
Number of salaries quoted
142
233
410
10th Percentile
£37,625
£40,000
£41,250
25th Percentile
£46,250
£46,250
£47,500
Median annual salary (50th Percentile)
£60,000
£60,000
£62,500
Median % change year-on-year
-
-4.00%
+4.17%
75th Percentile
£80,000
£79,750
£77,715
90th Percentile
£95,000
£87,500
£91,934
South West median annual salary
£54,250
£57,500
£57,500
% change year-on-year
-5.65%
-
+5.33%
Node.js Job Vacancy Trend in Bristol
Historical trend showing the proportion of permanent IT job postings citing Node.js relative to all permanent IT jobs advertised in Bristol.
Node.js Salary Trend in Bristol
Salary distribution trend for jobs in Bristol citing Node.js.
Node.js Salary Histogram in Bristol
Salary distribution for jobs citing Node.js in Bristol over the 6 months to 18 October 2025.
Node.js Top 30 Co-Occurring Skills & Capabilities in Bristol
For the 6 months to 18 October 2025, job vacancies citing Node.js also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the Bristol region with a requirement for Node.js.
Node.js Co-Occurring Skills & Capabilities in Bristol by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
